MACHINE LEARNING & AI FOR HEALTHCARE: A HIMSS EVENT
Boston, MA, June 13-14, 2019
Steven Horng is dual board-certified in emergency medicine and clinical informatics with degrees in computer science and biomedical informatics. He specializes in translational clinical informatics and focuses his research on novel methods of artificial intelligence to improve the quality and efficiency of emergency care. Specifically, he works on applying state-of-the-art machine learning methods to implement automated information retrieval and targeted decision support at the bedside. He also holds a faculty appointment in the Division of Clinical Informatics
This session kicks off a two-day journey for attendees from analytic basics to advanced uses of machine learning and AI, with multiple stops for lessons learned and best practices along the way.
Artificial intelligence and machine learning gather a lot of attention these days, and with good reason. Improved diagnosis, processing radiology images, precision medicine, and workflow efficiencies to reduce clinician burnout are just some of the areas either being impacted by AI/ML or will be in the near future. But as our speakers will discuss, a healthcare organization will not derive value from AI and ML unless it has achieved a level of capability with managing data and analytics.
In this session, attendees will learn how to set up analytics to prepare for AI and ML, how to embed AI in analytics, and better grasp that no matter how much ML and AI can help us predict the future, it can’t be done without first looking in the rearview mirror.